ICT4Life

ICT4Life

Funding Organization: European Commission
Funding Programme: Horizon H2020
Funding Instrument: Research & Innovation Action
Start Date:
Duration: 36 months
Total Budget: 3,423,968 EUR
ITI Budget: 404,375 EUR

ICT services for Life Improvement For the Elderly (2016: H2020 RIA)

With an increasingly growing population in Europe, cognitive impairments is a major social and health issue. According to the World Alzheimer Report (WHO) 2014, dementia, including Alzheimer’s disease, remains one of the biggest global public health challenges our generation is facing. People with Dementia, Alzheimer or Parkinson’s disease have a lot of problems to manage alone and require for care. From the caregiver side, relatives are the other victim of the disease. As the impairment increases the families need to dedicate much more time, mental and physical effort. In many cases the carer is the couple who also is an old person with all the associated problems. If this demographic transition is not tackled head-on, it will raise considerable concerns for the financial sustainability of health and care systems.

Over 36 months, ICT4Life will dedicate a large amount in order to develop a solution for individuals with early stage cognitive impairment living alone that will permit doctors and caregivers to extract useful information about patients (for taking the best medical or social actions), while contributing in a user friendly way to extend their independence. People with dementia, in general and, in particular, with Alzheimer at an early stage and with Parkinson, constitute the main group of users ICT4Life will focus its analysis on.

The technologies that will constitute the main pillars of ICT4Life are the following:

  • Education delivery methods for care professionals. Tools for the automatic creation of reusable resources, i.e. formative training content, etc.
  • ICT decision support instruments, incorporating machine intelligence, allowing care professionals to have access to treatment/therapy recommendations according to patients’ profile.
  • Advanced visual analytics to monitor personal health status
  • Indoors activity recognition through advanced sensing to detect deviations from persons’ daily conduct.
  • Game-based learning and adaptation tools to boost patient empowerment and self-care abilities.
  • Integration of unobtrusive biomedical sensors for continuous monitoring of the patient health status and compilation data to be processed and generate new medical knowledge
  • Design and development of personalised interfaces relying on smart/Connected TV and Android-based/iOS/Windows mobile technologies as interaction mechanism with ICT4Life Teleservices
  • Standard codification mechanisms to increase levels of integration of clinical and social data from multiple service providers and user-generated data. Electronic Health/Care Record (EHR)
  • Data mining to accomplish data analytics so that new knowledge about co-morbidities, disease evolution and socio demographic parameters will be generated

Other important contributions from the business point of view that ICT4Life will offer:

  • Approaches to manage regulatory, security, privacy, liability, confidentiality and interoperability issues (identification, authentication, authorization to access/share health/care records and patient electronic consent)
  • Mechanisms to reduce risk and time to market costs for industry
  • Flexible approach to service development so as to give answers to multiple scenarios, such as home based personal services, daily care centre services and elder homes services.
  • Model business cases to support implementation and scale up

ICT4Life: ICT services for Life Improvement For the Elderly

 

Publications:
  1. T. Theodoridis, V. Solachidis, N. Vretos, P. Daras, "Human fall detection from acceleration measurements using a Recurrent Neural Network" , International Conference on Biomedical and Health Informatics Thessaloniki, Greece, 18-21 November 2017
  2. F. Alvarez, M. Popa, N. Vretos, A. Belmonte, S. Asteriadis, V. Solachidis, T. Mariscal, D. Dotti, P. Daras , "Multimodal monitoring of Parkinson's and Alzheimer's patients using the ICT4LIFE platform" , 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 29 Aug – 1 Sept, 2017
  3. T. Theodoridis, D. Dotti, M. Popa, V. Solachidis, N. Vretos, P. Daras, G. Hernandez, F. Alvarez, A. Gonzales Paton, A. Lopez, "ICT4Life Open Source Libraries supporting Multimodal Analysis of different diseases" , 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 29 Aug – 1 Sept, 2017
  4. A. Belmonte-Hernandez, V. Solachidis, T. Theodoridis, G. Hernandez, G. Conti, N. Vretos, P. Daras, F. Alvarez, "Person Tracking Association Using Multi-modal Systems" , 14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Lecce, Italy, 29 Aug – 1 Sept, 2017
  5. A. Sanchez-Rico, P. Garel, I. Notarangelo, M. Quintana, G. Hernandez, S. Asteriadis, M. Popa, N. Vretos, V. Solachidis, M. Burgos, A. Girault, "ICT Services for Life Improvement for the Elderly" , Studies in health technology and informatics, 242, p.600
  6. F. Alvarez, M. Popa, V. Solachidis, G. Hernandez, A. Belmonte-Hernandez, S. Asteriadis, N. Vretos, M. Quintana, D. Dotti, T. Theodoridis, P. Daras, "Behaviour analysis through multimodal sensing to improve Parkinson and Alzheimer patients quality of life" , IEEE Multimedia Magazine (accepted for publication)
Contact:
Dr. Petros Daras
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Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

Contact Information

Dr. Petros Daras, Principal Researcher Grade Α
1st km Thermi – Panorama, 57001, Thessaloniki, Greece
P.O.Box: 60361
Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras@iti.gr